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Mirassol vs Atletico Paranaense: statistics and analysis

BRASILEIRÃO 2026 · PRE-MATCH ANALYSIS

Brasileirão 2026 · Round 37

· LONDON TIME · José Maria de Campos Maia · Referee: not provided

Use the scopes and indicators below to understand both teams’ current form. Statistics provide context, but do not determine the outcome.

Mirassol

Mirassol

15 · 32 pts · 28 P · 8 W · 8 D · 12 L · 33:42 · GD -9

VS
Atletico Paranaense

Atletico Paranaense

3 · 49 pts · 28 P · 14 W · 7 D · 7 L · 43:32 · GD 11

Statistical engine · radaronze-v1

RadarOnze analysis

Probabilities calculated in advance. The explanatory layer organises existing factors and does not change the model’s numbers.

View in the Betting Centre

Away team to score 1+ goals

81.2%

medium
View full analysis
Sample
28 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.22 × 1.80

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1480 × 1556

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 63.3

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 28 / 28

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.04 × 1.39

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.17 × 1.69

    Parameters from the independent Poisson model for the home and away teams.

  • Signal consensus: 95.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Away team to score 1+ goals has a model probability of 81.2%, medium confidence and a sample of 28 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.22 × 1.80 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1480 × 1556 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Over 3.5 yellow cards

67.3%

medium
View full analysis
Sample
27 matches/team
Model
radaronze-v1

Model factors

  • League average — metric: 4.64

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.29 × 2.25

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1480 × 1556

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 70.1

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 28 / 27

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 98.2%

    Share of previous matches with complete data for this market.

  • Model expected metric: 4.54

    Count model with home/away adjustment, team strength and empirical smoothing.

  • Signal consensus: 88

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 3.5 yellow cards has a model probability of 67.3%, medium confidence and a sample of 27 matches per team.

League average — metric: 4.64 (Weighted average using only matches played before the fixture.) Home/away strength: 2.29 × 2.25 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1480 × 1556 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Over 4.5 yellow cards

47.9%

medium
View full analysis
Sample
27 matches/team
Model
radaronze-v1

Model factors

  • League average — metric: 4.64

    Weighted average using only matches played before the fixture.

  • Home/away strength: 2.29 × 2.25

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1480 × 1556

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 70.1

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 28 / 27

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 98.2%

    Share of previous matches with complete data for this market.

  • Model expected metric: 4.54

    Count model with home/away adjustment, team strength and empirical smoothing.

  • Signal consensus: 94.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 4.5 yellow cards has a model probability of 47.9%, medium confidence and a sample of 27 matches per team.

League average — metric: 4.64 (Weighted average using only matches played before the fixture.) Home/away strength: 2.29 × 2.25 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1480 × 1556 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Double chance 1X

51.4%

medium
View full analysis
Sample
28 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.22 × 1.80

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1480 × 1556

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 63.3

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 28 / 28

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.04 × 1.39

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.17 × 1.69

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 14.1

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance 1X has a model probability of 51.4%, medium confidence and a sample of 28 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.22 × 1.80 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1480 × 1556 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Double chance X2

73.2%

medium
View full analysis
Sample
28 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.22 × 1.80

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1480 × 1556

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 63.3

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 28 / 28

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.04 × 1.39

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.17 × 1.69

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 31.4

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Double chance X2 has a model probability of 73.2%, medium confidence and a sample of 28 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.22 × 1.80 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1480 × 1556 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Over 0.5 goals

94.5%

medium
View full analysis
Sample
28 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.22 × 1.80

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1480 × 1556

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 63.3

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 28 / 28

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.04 × 1.39

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.17 × 1.69

    Parameters from the independent Poisson model for the home and away teams.

  • Signal consensus: 96.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 0.5 goals has a model probability of 94.5%, medium confidence and a sample of 28 matches per team.

League average — goals: 2.69 (Weighted average using only matches played before the fixture.) Home/away strength: 1.22 × 1.80 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1480 × 1556 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Over 20.5 shots

89.5%

medium
View full analysis
Sample
28 matches/team
Model
radaronze-v1

Model factors

  • League average — shots: 27.98

    Weighted average using only matches played before the fixture.

  • Home/away strength: 13.56 × 13.48

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1480 × 1556

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 84.4

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 28 / 28

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Model expected shots: 27.04

    Count model with home/away adjustment, team strength and empirical smoothing.

  • Signal consensus: 93.8

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 20.5 shots has a model probability of 89.5%, medium confidence and a sample of 28 matches per team.

League average — shots: 27.98 (Weighted average using only matches played before the fixture.) Home/away strength: 13.56 × 13.48 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1480 × 1556 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Over 6.5 shots on target

82.9%

medium
View full analysis
Sample
28 matches/team
Model
radaronze-v1

Model factors

  • League average — shots on target: 9.15

    Weighted average using only matches played before the fixture.

  • Home/away strength: 4.28 × 5.33

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1480 × 1556

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 78

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 28 / 28

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Model expected shots on target: 9.61

    Count model with home/away adjustment, team strength and empirical smoothing.

  • Signal consensus: 81.6

    Agreement between the parametric model and the smoothed empirical frequency.

Understand this analysisStructured analysis

Over 6.5 shots on target has a model probability of 82.9%, medium confidence and a sample of 28 matches per team.

League average — shots on target: 9.15 (Weighted average using only matches played before the fixture.) Home/away strength: 4.28 × 5.33 (Separate home and away expectations, shrunk towards the overall average.) Opponent strength: 1480 × 1556 (Chronological Elo adjustment with no future matches used.)

No current market price is available for this signal.

The explanation organises results that have already been calculated; it does not change probabilities, odds, edge, EV, confidence or value classification.

Result probabilities — 1X2Complementary statistical view. It does not take part in top signals or tickets.

Away win

48.6%

medium
View full analysis
Sample
28 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.22 × 1.80

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1480 × 1556

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 63.3

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 28 / 28

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.04 × 1.39

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.17 × 1.69

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 14.1

    Agreement between the parametric model and the smoothed empirical frequency.

Draw

24.6%

medium
View full analysis
Sample
28 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.22 × 1.80

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1480 × 1556

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 63.3

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 28 / 28

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.04 × 1.39

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.17 × 1.69

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 82.4

    Agreement between the parametric model and the smoothed empirical frequency.

Home win

26.8%

medium
View full analysis
Sample
28 matches/team
Model
radaronze-v1

Model factors

  • League average — goals: 2.69

    Weighted average using only matches played before the fixture.

  • Home/away strength: 1.22 × 1.80

    Separate home and away expectations, shrunk towards the overall average.

  • Opponent strength: 1480 × 1556

    Chronological Elo adjustment with no future matches used.

  • Recency: 120-day half-life

    Exponential weighting with a 0.2 floor; older matches never disappear completely.

  • Historical stability: 63.3

    Index derived from the dispersion of previous outcomes for this market.

  • Sample per team: 28 / 28

    Valid home-team and away-team matches available before kick-off.

  • Historical coverage: 100.0%

    Share of previous matches with complete data for this market.

  • Expected Goals: 1.04 × 1.39

    The xG signal receives 28% of the weight; observed goals receive 72%.

  • Model expected goals: 1.17 × 1.69

    Parameters from the independent Poisson model for the home and away teams.

  • Score matrix: 0–10 goals per team

    The 1X2 probabilities are normalised to add up to exactly 100%.

  • Signal consensus: 31.4

    Agreement between the parametric model and the smoothed empirical frequency.

18+ · Statistical estimates, not guaranteed outcomes. Bet responsibly.

Data interpretation

RadarOnze analysis

An original, deterministic reading of the real samples shown on this page.

Across 10 recent matches, Mirassol recorded 3 wins, 4 draws and 3 defeats and averaged 1.30 goals scored per match. Atletico Paranaense's 10-match sample contains 5 wins, 4 draws and 1 defeat, with 1.90 goals scored per match.

The venue split shows Mirassol at home with 6 wins, 5 draws and 4 defeats in 15 matches, averaging 1.40 goals scored and 1.40 goals conceded. Away from home, Atletico Paranaense has 5 wins, 3 draws and 6 defeats in 14 matches, with 1.29 goals scored and 1.50 goals conceded.

Both teams scored in 8 of 10 matches (80%) of Mirassol's sample and 7 of 10 matches (70%) of Atletico Paranaense's. Over 2.5 goals occurred in 5 of 10 matches (50%) and 6 of 10 matches (60%), respectively.

Shot volume separates the sides at 13.00 per match for Mirassol and 12.50 for Atletico Paranaense. On target, the averages are 4.60 and 5.10, respectively.

Historical frequencies describe the available sample; they are not a promise or certainty about a future result.

Form

Recent form and season

Last 5

Mirassol

5 matches
WDWLD
W
2
D
2
L
1
GF
7
GA
6

Last 5

Atletico Paranaense

5 matches
WDLDW
W
2
D
2
L
1
GF
12
GA
12

Last 10

Mirassol

10 matches
WDWLDDLLWD
W
3
D
4
L
3
GF
13
GA
17

Last 10

Atletico Paranaense

10 matches
WDLDWDWDWW
W
5
D
4
L
1
GF
19
GA
14

Last 20

Mirassol

20 matches
WDWLDDLLWDWLWLDWLWLL
W
7
D
5
L
8
GF
23
GA
29

Last 20

Atletico Paranaense

20 matches
WDLDWDWDWWWWDLDWLWLL
W
9
D
6
L
5
GF
29
GA
24

Season

Mirassol

28 matches
WDWLDDLLWDWLWLDWLWLLLLLLDDDW
W
8
D
8
L
12
GF
33
GA
42

Season

Atletico Paranaense

28 matches
WDLDWDWDWWWWDLDWLWLLWWWLDLWW
W
14
D
7
L
7
GF
43
GA
32

Goals

Frequencies across the last 10

Average goals scored

Mirassol

1.30 · 10 matches

Atletico Paranaense

1.90 · 10 matches

Average goals conceded

Mirassol

1.70 · 10 matches

Atletico Paranaense

1.40 · 10 matches

Over 0.5

Mirassol

100% · 10 of 10 matches

Atletico Paranaense

90% · 9 of 10 matches

Over 1.5

Mirassol

100% · 10 of 10 matches

Atletico Paranaense

90% · 9 of 10 matches

Over 2.5

Mirassol

50% · 5 of 10 matches

Atletico Paranaense

60% · 6 of 10 matches

Over 3.5

Mirassol

30% · 3 of 10 matches

Atletico Paranaense

40% · 4 of 10 matches

Both teams scored

Mirassol

80% · 8 of 10 matches

Atletico Paranaense

70% · 7 of 10 matches

Clean sheet

Mirassol

10% · 1 of 10 matches

Atletico Paranaense

30% · 3 of 10 matches

Failed to score

Mirassol

10% · 1 of 10 matches

Atletico Paranaense

10% · 1 of 10 matches

Corners

Volume and observed lines

Average for

Mirassol

5.00 · 10 matches

Atletico Paranaense

3.90 · 10 matches

Average against

Mirassol

5.60 · 10 matches

Atletico Paranaense

6.90 · 10 matches

Total average

Mirassol

10.60 · 10 matches

Atletico Paranaense

10.80 · 10 matches

Over 7.5

Mirassol

60% · 6 of 10 matches

Atletico Paranaense

100% · 10 of 10 matches

Over 8.5

Mirassol

60% · 6 of 10 matches

Atletico Paranaense

90% · 9 of 10 matches

Over 9.5

Mirassol

50% · 5 of 10 matches

Atletico Paranaense

70% · 7 of 10 matches

Over 10.5

Mirassol

50% · 5 of 10 matches

Atletico Paranaense

50% · 5 of 10 matches

Over 11.5

Mirassol

50% · 5 of 10 matches

Atletico Paranaense

30% · 3 of 10 matches

Cards

Averages and frequencies

Team average

Mirassol

2.50 · 10 matches

Atletico Paranaense

2.00 · 9 matches

Opponent average

Mirassol

1.90 · 10 matches

Atletico Paranaense

2.00 · 9 matches

Total average

Mirassol

4.40 · 10 matches

Atletico Paranaense

4.00 · 9 matches

Over 2.5

Mirassol

70% · 7 of 10 matches

Atletico Paranaense

67% · 6 of 9 matches

Over 3.5

Mirassol

60% · 6 of 10 matches

Atletico Paranaense

56% · 5 of 9 matches

Over 4.5

Mirassol

50% · 5 of 10 matches

Atletico Paranaense

33% · 3 of 9 matches

Over 5.5

Mirassol

30% · 3 of 10 matches

Atletico Paranaense

22% · 2 of 9 matches

Fouls

Match intensity

Committed average

Mirassol

12.40 · 10 matches

Atletico Paranaense

13.00 · 10 matches

Opponent average

Mirassol

10.10 · 10 matches

Atletico Paranaense

11.20 · 10 matches

Total average

Mirassol

22.50 · 10 matches

Atletico Paranaense

24.20 · 10 matches

Shots

Production and concessions

Average shots

Mirassol

13.00 · 10 matches

Atletico Paranaense

12.50 · 10 matches

Average shots on target

Mirassol

4.60 · 10 matches

Atletico Paranaense

5.10 · 10 matches

Average shots conceded

Mirassol

14.50 · 10 matches

Atletico Paranaense

17.10 · 10 matches

Average shots on target conceded

Mirassol

4.80 · 10 matches

Atletico Paranaense

4.70 · 10 matches

Average xG

Mirassol

0.96 · 6 matches

Atletico Paranaense

1.70 · 7 matches

Average xG against

Mirassol

1.41 · 6 matches

Atletico Paranaense

1.32 · 7 matches

Home vs away

Mirassol at home × Atletico Paranaense away

Mirassol at home

Mirassol

15 matches
WDDLWWWDWLLLDDW
W
6
D
5
L
4
GF
21
GA
21

Atletico Paranaense away

Atletico Paranaense

14 matches
DLWWDWWLLLLLDW
W
5
D
3
L
6
GF
18
GA
21
Average goals scored

Mirassol at home

1.40 · 15 matches

Atletico Paranaense away

1.29 · 14 matches

Average goals conceded

Mirassol at home

1.40 · 15 matches

Atletico Paranaense away

1.50 · 14 matches

Over 0.5

Mirassol at home

100% · 15 of 15 matches

Atletico Paranaense away

93% · 13 of 14 matches

Over 1.5

Mirassol at home

80% · 12 of 15 matches

Atletico Paranaense away

71% · 10 of 14 matches

Over 2.5

Mirassol at home

60% · 9 of 15 matches

Atletico Paranaense away

57% · 8 of 14 matches

Over 3.5

Mirassol at home

27% · 4 of 15 matches

Atletico Paranaense away

29% · 4 of 14 matches

Both teams scored

Mirassol at home

73% · 11 of 15 matches

Atletico Paranaense away

57% · 8 of 14 matches

Clean sheet

Mirassol at home

13% · 2 of 15 matches

Atletico Paranaense away

21% · 3 of 14 matches

Failed to score

Mirassol at home

13% · 2 of 15 matches

Atletico Paranaense away

29% · 4 of 14 matches

Total corner average

Mirassol at home

10.07 · 15 matches

Atletico Paranaense away

10.21 · 14 matches

Over 8.5 corners

Mirassol at home

73% · 11 of 15 matches

Atletico Paranaense away

71% · 10 of 14 matches

Total card average

Mirassol at home

5.00 · 15 matches

Atletico Paranaense away

4.93 · 14 matches

Players and goalkeepers

Pre-match highlights

Mirassol

Igor Formiga

Centre-back

7.03

25 matches · 2054 min

4 goals · 5 assists · 10 of 26 shots on target

Eduardo

Midfielder

6.82

20 matches · 1153 min

6 goals · 0 assists · 10 of 24 shots on target

Reinaldo

Centre-back

6.93

25 matches · 2202 min

1 goals · 4 assists · 6 of 25 shots on target

Alesson

Forward

6.43

25 matches · 1638 min

0 goals · 4 assists · 15 of 28 shots on target

João Victor

Centre-back

6.90

27 matches · 2515 min

2 goals · 1 assists · 4 of 13 shots on target

Walter

Goalkeeper

6.80

24 matches · 2194 min

74 saves · 33 goals conceded

Alex Muralha

Goalkeeper

6.76

3 matches · 225 min

10 saves · 0 goals conceded

Atletico Paranaense

K. Viveros

Forward

7.20

26 matches · 2343 min

18 goals · 3 assists · 45 of 66 shots on target

L. Esquivel

Midfielder

7.26

19 matches · 1548 min

2 goals · 5 assists · 4 of 9 shots on target

João Cruz

Midfielder

6.70

21 matches · 932 min

2 goals · 5 assists · 9 of 22 shots on target

G. Benavídez

Centre-back

7.01

22 matches · 1912 min

1 goals · 5 assists · 5 of 7 shots on target

S. Mendoza

Midfielder

6.85

28 matches · 2336 min

5 goals · 1 assists · 13 of 34 shots on target

Santos

Goalkeeper

6.23

27 matches · 2219 min

63 saves · 25 goals conceded

Mycael

Goalkeeper

6.41

4 matches · 366 min

9 saves · 0 goals conceded

H2H

Recent meetings

Atletico Paranaense 1 × 0 Mirassol1492280
Average goals
1.00 · 1 match
Both teams scored
0% · 0 of 1 matches
Over 2.5
0% · 0 of 1 matches

H2H corners: 10.00 · 1 match

Combined view

Data convergences

  • Both scopes show a high frequency of the home team scoring.
  • Both scopes show a high frequency of the away team scoring.

Descriptive analysis based exclusively on available frequencies.